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Ordered Choices and Heterogeneity in Attribute Processing

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  • William H. Greene
  • David A. Hensher

Abstract

A growing number of empirical studies involve the assessment of influences on a choice amongst ordered discrete alternatives. Ordered logit and probit models are well known, including extensions to accommodate random parameters and heteroscedasticity in unobserved variance. This paper extends the ordered choice random parameter model to permit random parameterisation of thresholds and decomposition to establish observed sources of systematic variation in the threshold parameter distribution. We illustrate the empirical gains of this model, over the traditional ordered choice model, by identifying candidate influences on the role that specific attributes play, in the sense of being ignored or not (including being aggregated where they are in common-metric units), in an individual's choice amongst unlabelled attribute packages of alternative tolled and non-tolled routes for the commuting trip. The empirical ordering represents the number of attributes attended to from the full fixed set. The evidence suggests that there is significant heterogeneity associated with the thresholds, that can be connected to systematic sources associated with the respondent (that is, gender) and the choice experiment, and hence the generalised extension of the ordered choice model is an improvement, behaviourally, over the simpler model. © 2010 LSE and the University of Bath

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Bibliographic Info

Article provided by London School of Economics and University of Bath in its journal Journal of Transport Economics and Policy (JTEP).

Volume (Year): 44 (2010)
Issue (Month): 3 (September)
Pages: 331-364

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Handle: RePEc:tpe:jtecpo:v:44:y:2010:i:3:p:331-364

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Web page: http://www.bath.ac.uk/e-journals/jtep

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Cited by:
  1. Paleti, Rajesh & Bhat, Chandra R., 2013. "The composite marginal likelihood (CML) estimation of panel ordered-response models," Journal of choice modelling, Elsevier, vol. 7(C), pages 24-43.
  2. Kajal Lahiri & Yongchen Zhao, 2013. "Quantifying Heterogeneous Survey Expectations: The Carlson-Parkin Method Revisited," Discussion Papers 13-08, University at Albany, SUNY, Department of Economics.

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